Alfred & Victoria Associates is one of Nigeria’s leading ICT solution based company. Our company offers a wide range of services which are in high demand of today’s emerging market.
Job Description
- We are seeking a highly motivated and result-driven Senior Data Engineer with a minimum of 9years experience to join our team.
- As a Senior Data engineer, you will be responsible for architecting, designing and building data processing systems and infrastructure in a cloud environment
Responsibilities
- Design, develop, and maintain cloud-based data pipelines and data processing systems.
- Collaborate with stakeholders to gather requirements and define data engineering solutions.
- Implement data integration and ETL processes to extract, transform, and load data from various sources.
- Ensure data quality, integrity, and consistency across different data sets.
- Optimize and fine-tune data processing and data storage systems for performance and scalability.
- Monitor and troubleshoot data pipelines and resolve any issues that arise.
- Collaborate with cross-functional teams to implement data governance and security measures.
Requirements
- Minimum of 9 years’ experience in Cloud Data Engineering, Machine Learning, and Visualization.
- Proficiency in AWS Boto3 Python SDK
- Experience with big data processing frameworks such as Apache Spark or Hadoop.
- Familiarity with data modeling, data warehousing, and database design principles.
- Knowledge of Cloud Warehousing Solutions such as Amazon Redshift and Google BigQuery
- Experience with ETL tools such as Amazon Glue
- Knowledge of SQL and NoSQL databases.
- Experience with data integration tools and technologies (e.g., Apache Kafka, Apache NiFi).
- Understanding of data governance, data security, and privacy best practices.
- Knowledge of data visualization tools (e.g., Data Studio, QuickSight, Tableau, Power BI).
- Relevant Solution Architecture, Data engineering and Machine learning Certification,
- Experience with containerization technologies (e.g., Docker, Kubernetes).
Method of Application
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